default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQingyao Wu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j81]Yiwen Cao, Yukun Su, Wenjun Wang, Yanxia Liu
, Qingyao Wu:
Semantic-Constraint Matching for transformer-based weakly supervised object localization. Pattern Recognit. 158: 110971 (2025)- [j80]Lvlong Lai, Jian Chen, Zehong Zhang, Guosheng Lin, Qingyao Wu:
CMFAN: Cross-Modal Feature Alignment Network for Few-Shot Single-View 3D Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 36(3): 5522-5534 (2025) - [i32]Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang, Guosheng Lin, Qingyao Wu:
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter. CoRR abs/2501.15616 (2025) - [i31]Xiaotong Tu, Chenyu Ma, Qingyao Wu, Yinhao Liu, Hongyang Zhang:
Integrating Frequency Guidance into Multi-source Domain Generalization for Bearing Fault Diagnosis. CoRR abs/2502.00545 (2025) - 2024
- [j79]Yiwen Cao, Yukun Su, Jingliang Deng, Yu Zhang, Qingyao Wu:
Adaptive Locally-Aligned Transformer for low-light video enhancement. Comput. Vis. Image Underst. 240: 103916 (2024) - [j78]Pengshuai Yin, Huanxin Chen, Huichou Huang, Hanjing Su, Qingyao Wu, Qilin Wan:
A region-based convolutional fusion network for typhoon intensity estimation in satellite images. Eng. Appl. Artif. Intell. 134: 108671 (2024) - [j77]Pengshuai Yin, Yupeng Fang, Huanxin Chen, Huichou Huang, Qilin Wan, Qingyao Wu:
Deep contrastive learning based hybrid network for Typhoon intensity classification. Expert Syst. Appl. 252: 124229 (2024) - [j76]Ruirui Liu, Haoxian Liu, Huichou Huang, Bo Song, Qingyao Wu:
Multimodal multiscale dynamic graph convolution networks for stock price prediction. Pattern Recognit. 149: 110211 (2024) - [j75]Jiaju Wu, Zhengchang Wen, Haitian Huang, Hanjing Su, Fei Liu, Huan Wang, Yi Ding, Qingyao Wu:
A reweighting method for speech recognition with imbalanced data of Mandarin and sub-dialects. Serv. Oriented Comput. Appl. 18(2): 145-152 (2024) - [j74]Xiao Li, Ruirui Liu, Huichou Huang, Qingyao Wu:
Contrastive Learning for Target Speaker Extraction With Attention-Based Fusion. IEEE ACM Trans. Audio Speech Lang. Process. 32: 178-188 (2024) - [j73]Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Hanjing Su, Qingyao Wu:
A Unified Transformer Framework for Group-Based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection. IEEE Trans. Multim. 26: 313-325 (2024) - [j72]Lvlong Lai, Jian Chen, Qingyao Wu:
Zero-Shot Single-View Point Cloud Reconstruction via Cross-Category Knowledge Transferring. IEEE Trans. Multim. 26: 1448-1459 (2024) - [j71]Zhiquan Wen, Shuaicheng Niu, Ge Li, Qingyao Wu, Mingkui Tan, Qi Wu:
Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions. IEEE Trans. Multim. 26: 2137-2147 (2024) - [j70]Lvlong Lai, Jian Chen, Guosheng Lin, Qingyao Wu:
CMNet: Component-Aware Matching Network for Few-Shot Point Cloud Classification. IEEE Trans. Multim. 26: 9241-9251 (2024) - [c68]Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li:
Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation. AAAI 2024: 1698-1706 - [c67]Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu:
Spatial-Semantic Collaborative Cropping for User Generated Content. AAAI 2024: 4988-4997 - [c66]Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin:
Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration. AAAI 2024: 6549-6557 - [c65]Yupeng Fang, Ruirui Liu, Huichou Huang, Peilin Zhao, Qingyao Wu:
A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference. CIKM 2024: 602-611 - [c64]Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu:
A Payment Transaction Pre-training Model for Fraud Transaction Detection. CIKM 2024: 932-941 - [c63]Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu:
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency. ECCV (44) 2024: 352-370 - [c62]Zhongneng Ma, Zhuorui Qin, Shuxia Shi, Qingyao Wu:
Reinforcement Learning Framework for Delivery Capacity Scheduling with Vehicle Constraints. ICEBE 2024: 278-283 - [c61]Rui Ruan, Wei Zou, Zhenwei Li, Zhuorui Qin, Qingyao Wu, Shenghui Huang:
U-Shape Network for Chip Surface Defect Detection. ICEBE 2024: 298-305 - [i30]Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu:
Spatial-Semantic Collaborative Cropping for User Generated Content. CoRR abs/2401.08086 (2024) - [i29]Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu:
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency. CoRR abs/2408.07481 (2024) - [i28]Yanquan Huang, Liu Wei Zhen, Yun Hao, Mengyuan Zhang, Qingyao Wu, Zikun Deng, Xueming Liu, Hong Deng:
Hybrid Classification-Regression Adaptive Loss for Dense Object Detection. CoRR abs/2408.17182 (2024) - 2023
- [j69]Siraj Khan, Muhammad Asim, Salabat Khan, Ahmad Musyafa, Qingyao Wu:
Unsupervised domain adaptation using fuzzy rules and stochastic hierarchical convolutional neural networks. Comput. Electr. Eng. 105: 108547 (2023) - [j68]Siraj Khan, Yuxin Guo, Yuzhong Ye, Chunshan Li, Qingyao Wu:
Mini-batch Dynamic Geometric Embedding for Unsupervised Domain Adaptation. Neural Process. Lett. 55(3): 2063-2080 (2023) - [j67]Yun Hao, Yukun Su, Guosheng Lin, Hanjing Su, Qingyao Wu:
Contrastive Generative Network with Recursive-Loop for 3D point cloud generalized zero-shot classification. Pattern Recognit. 144: 109843 (2023) - [j66]Xiaojing Zhong, Ni Zhang, Hao Hu, Li Li, Junhua Cen, Qingyao Wu:
Densely packed object detection with transformer-based head and EM-merger. Serv. Oriented Comput. Appl. 17(2): 109-117 (2023) - [c60]Ruizhou Sun, Yukun Su, Qingyao Wu:
DENet: Disentangled Embedding Network for Visible Watermark Removal. AAAI 2023: 2411-2419 - [c59]Zhiquan Wen, Yaowei Wang, Mingkui Tan, Qingyao Wu, Qi Wu:
Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering. ACL (Findings) 2023: 6910-6928 - [c58]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). ICDE 2023: 3771-3772 - [c57]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). ICDE 2023: 3829-3830 - [c56]Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract. ICDE 2023: 3855-3856 - [c55]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. ICDE 2023: 3885-3886 - [c54]Zhuorui Qin, Xiaoqian Wu, Yimin Zheng, Qingyao Wu:
Research on Multi-AGVs dynamic scheduling based on deep reinforcement learning. ICEBE 2023: 257-262 - [i27]Dongjian Huo, Zehong Zhang, Hanjing Su, Guanbin Li, Chaowei Fang, Qingyao Wu:
WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning. CoRR abs/2308.10195 (2023) - [i26]Yukun Su, Guosheng Lin, Qingyao Wu:
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds. CoRR abs/2308.13866 (2023) - [i25]Yukun Su, Ruizhou Sun, Xin Shu, Yu Zhang, Qingyao Wu:
Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking. CoRR abs/2308.15795 (2023) - [i24]Yiwen Cao, Yukun Su, Wenjun Wang, Yanxia Liu, Qingyao Wu:
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization. CoRR abs/2309.01331 (2023) - [i23]Huanxin Chen, Pengshuai Yin, Huichou Huang, Qingyao Wu, Ruirui Liu, Xiatian Zhu:
Typhoon Intensity Prediction with Vision Transformer. CoRR abs/2311.16450 (2023) - [i22]Xiaojing Zhong, Yukun Su, Zhonghua Wu, Guosheng Lin, Qingyao Wu:
DI-Net : Decomposed Implicit Garment Transfer Network for Digital Clothed 3D Human. CoRR abs/2311.16818 (2023) - [i21]Xiaojing Zhong, Xinyi Huang, Zhonghua Wu, Guosheng Lin, Qingyao Wu:
SARA: Controllable Makeup Transfer with Spatial Alignment and Region-Adaptive Normalization. CoRR abs/2311.16828 (2023) - [i20]Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li:
Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation. CoRR abs/2312.14387 (2023) - 2022
- [j65]Pengshuai Yin, Hongmin Cai, Qingyao Wu:
DF-Net: Deep fusion network for multi-source vessel segmentation. Inf. Fusion 78: 199-208 (2022) - [j64]Junyu Su, Yukun Su, Yu Zhang, Weiqiang Yang, Huichou Huang, Qingyao Wu:
EpNet: Power lines foreign object detection with Edge Proposal Network and data composition. Knowl. Based Syst. 249: 108857 (2022) - [j63]Lvlong Lai, Jian Chen, Chi Zhang, Zehong Zhang, Guosheng Lin, Qingyao Wu:
Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation. Knowl. Based Syst. 253: 109508 (2022) - [j62]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 211-227 (2022) - [j61]Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan:
Visual Grounding Via Accumulated Attention. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1670-1684 (2022) - [j60]Yun Hao, Jiaju Wu, Xiangkang Huang, Zijia Zhang, Fei Liu, Qingyao Wu:
Speaker extraction network with attention mechanism for speech dialogue system. Serv. Oriented Comput. Appl. 16(2): 111-119 (2022) - [j59]Wenjun Wang, Lvlong Lai, Jian Chen, Qingyao Wu:
CAM-based non-local attention network for weakly supervised fire detection. Serv. Oriented Comput. Appl. 16(2): 133-142 (2022) - [j58]Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, Xiansheng Hua:
Dense Semantics-Assisted Networks for Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3073-3084 (2022) - [j57]Xiaojun Chen, Renjie Chen, Qingyao Wu, Feiping Nie, Min Yang, Rui Mao:
Semisupervised Feature Selection via Structured Manifold Learning. IEEE Trans. Cybern. 52(7): 5756-5766 (2022) - [j56]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 34(1): 236-248 (2022) - [j55]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(6): 2810-2823 (2022) - [j54]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification. IEEE Trans. Knowl. Data Eng. 34(9): 4063-4076 (2022) - [j53]Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(11): 5536-5551 (2022) - [j52]Hanrui Wu, Qingyao Wu, Michael K. Ng:
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation. ACM Trans. Inf. Syst. 40(1): 16:1-16:29 (2022) - [c53]Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang, Qingyao Wu:
Self-Supervised Object Localization with Joint Graph Partition. AAAI 2022: 2289-2297 - [c52]Qingyao Wu, Zhenqi Fu, Hong Lin, Chenyu Ma, Xiaotong Tu, Xinghao Ding:
EffiSeaNet: Pioneering Lightweight Network for Underwater Salient Object Detection. ACCV (4) 2022: 89-104 - [c51]Yukun Su, Guosheng Lin, Ruizhou Sun, Qingyao Wu:
General Object Pose Transformation Network from Unpaired Data. ECCV (6) 2022: 292-310 - [c50]Zhengchang Wen, Hailiang Huang, Yingwei Liang, Yi Ding, Xin Cheng, Qingyao Wu:
An End-to-End Speech Recognition System Based on Shared Encoder. ICEBE 2022: 32-37 - [c49]Xiaojing Zhong, Hao Hu, Li Li, Junhua Cen, Qingyao Wu:
Deep IoU Network for Dense Rebar Object Detection. ICEBE 2022: 45-50 - [c48]Zehui Ke, Hailiang Huang, Yingwei Liang, Yi Ding, Xin Cheng, Qingyao Wu:
Robust Video watermarking based on deep neural network and curriculum learning. ICEBE 2022: 80-85 - [c47]Xinyi Huang, Ni Zhang, Kesheng Fan, Xiaojing Zhong, Qingyao Wu:
Improved A* Method for High Efficiency Forklift Path Planning. ICEBE 2022: 136-140 - [i19]Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Qingyao Wu:
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection. CoRR abs/2203.04708 (2022) - [i18]Dongjian Huo, Yukun Su, Qingyao Wu:
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation. CoRR abs/2209.15211 (2022) - 2021
- [j51]Pengshuai Yin, Yanwu Xu, Jinhui Zhu, Jiang Liu, Chang'an Yi, Huichou Huang, Qingyao Wu:
Deep level set learning for optic disc and cup segmentation. Neurocomputing 464: 330-341 (2021) - [j50]Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng:
Joint Visual and Semantic Optimization for zero-shot learning. Knowl. Based Syst. 215: 106773 (2021) - [j49]Pengshuai Yin, Jiayong Ye, Guosheng Lin, Qingyao Wu:
Graph neural network for 6D object pose estimation. Knowl. Based Syst. 218: 106839 (2021) - [j48]Zheng Xie, Zhiquan Wen, Yaowei Wang, Qingyao Wu, Mingkui Tan:
Towards effective deep transfer via attentive feature alignment. Neural Networks 138: 98-109 (2021) - [j47]Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang:
Selection of diverse features with a diverse regularization. Pattern Recognit. 120: 108154 (2021) - [j46]Chi Zhang, Guankai Li, Guosheng Lin, Qingyao Wu, Rui Yao:
CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence. IEEE Trans. Image Process. 30: 5652-5664 (2021) - [j45]Xiaojun Chen, Yuzhong Ye, Qingyao Wu, Feiping Nie:
Fast Manifold Ranking With Local Bipartite Graph. IEEE Trans. Image Process. 30: 6744-6756 (2021) - [j44]Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu:
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. 33(3): 1078-1088 (2021) - [j43]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. 33(6): 2680-2692 (2021) - [j42]Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen:
Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2744-2757 (2021) - [c46]Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu:
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation. ICCV 2021: 6984-6994 - [c45]Yukun Su, Guosheng Lin, Qingyao Wu:
Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity. ICCV 2021: 13308-13318 - [c44]Fangyuan Xie, Pengshuai Yin, Zehui Ke, Ruizhou Sun, Ke Ding, Jian Chen, Qingyao Wu:
Vehicle Segmentation with Coarse Distance Estimation Based on Monocular Vision. ICEBE 2021: 16-20 - [c43]Yun Hao, Xiangkang Huang, Huichou Huang, Qingyao Wu:
Denoi-SpEx+: A Speaker Extraction Network based Speech Dialogue System. ICEBE 2021: 49-53 - [c42]Wenjun Wang, Xiangkang Huang, Xin Shu, Shuping Li, Huichou Huang, Qingyao Wu:
An Implementation of Face Recognition System with Face Presentation Attack Detection on Raspberry Pi. ICEBE 2021: 70-75 - [c41]Lvlong Lai, Jian Chen, Huichou Huang, Qingyao Wu:
Exploring A CAM - Based Approach for Weakly Supervised Fire Detection Task. ICEBE 2021: 134-138 - [c40]Jiaju Wu, Pengshuai Yin, Xin Shu, Huichou Huang, Fei Liu, Qingyao Wu:
A Vision-based Lane Departure Warning Framework. ICEBE 2021: 139-143 - [c39]Yukun Su, Guosheng Lin, Ruizhou Sun, Yun Hao, Qingyao Wu:
Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning. ACM Multimedia 2021: 769-778 - [c38]Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu:
MV-TON: Memory-based Video Virtual Try-on network. ACM Multimedia 2021: 908-916 - [c37]Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan:
Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. ACM Multimedia 2021: 5038-5046 - [c36]Zhiquan Wen, Guanghui Xu, Mingkui Tan, Qingyao Wu, Qi Wu:
Debiased Visual Question Answering from Feature and Sample Perspectives. NeurIPS 2021: 3784-3796 - [c35]Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang:
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. SIGIR 2021: 357-366 - [i17]Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu:
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation. CoRR abs/2103.01795 (2021) - [i16]Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu:
MV-TON: Memory-based Video Virtual Try-on network. CoRR abs/2108.07502 (2021) - [i15]Chi Zhang, Guosheng Lin, Lvlong Lai, Henghui Ding, Qingyao Wu:
Calibrating Class Activation Maps for Long-Tailed Visual Recognition. CoRR abs/2108.12757 (2021) - 2020
- [j41]Pengshuai Yin, Rui Yuan, Yiming Cheng, Qingyao Wu:
Deep Guidance Network for Biomedical Image Segmentation. IEEE Access 8: 116106-116116 (2020) - [j40]Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu:
Geometric Knowledge Embedding for unsupervised domain adaptation. Knowl. Based Syst. 191: 105155 (2020) - [j39]Min Yang, Lei Chen, Ziyu Lyu, Junhao Liu, Ying Shen, Qingyao Wu:
Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering. Neural Networks 132: 53-65 (2020) - [j38]Qi Chen, Qi Wu, Jian Chen, Qingyao Wu, Anton van den Hengel, Mingkui Tan:
Scripted Video Generation With a Bottom-Up Generative Adversarial Network. IEEE Trans. Image Process. 29: 7454-7467 (2020) - [j37]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29: 7834-7844 (2020) - [j36]Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li:
An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network. IEEE Trans. Image Process. 29: 9627-9640 (2020) - [j35]Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu:
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. ACM Trans. Intell. Syst. Technol. 11(4): 44:1-44:19 (2020) - [j34]Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang:
LABIN: Balanced Min Cut for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 31(3): 725-736 (2020) - [c34]Yukun Su, Guosheng Lin, Jin-Hui Zhu, Qingyao Wu:
Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition. ECCV (4) 2020: 74-90 - [c33]Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu:
Graph Edit Distance Reward: Learning to Edit Scene Graph. ECCV (19) 2020: 539-554 - [c32]Zhenhao He, Yuhong He, Qingyao Wu, Jian Chen:
Fg2seq: Effectively Encoding Knowledge for End-To-End Task-Oriented Dialog. ICASSP 2020: 8029-8033 - [c31]Haoming Xu, Runhao Zeng, Qingyao Wu, Mingkui Tan, Chuang Gan:
Cross-Modal Relation-Aware Networks for Audio-Visual Event Localization. ACM Multimedia 2020: 3893-3901 - [i14]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. CoRR abs/2003.03051 (2020) - [i13]Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR abs/2005.01577 (2020) - [i12]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/2007.07222 (2020) - [i11]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks with Local Coordinate Coding. CoRR abs/2008.00942 (2020) - [i10]Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu:
Graph Edit Distance Reward: Learning to Edit Scene Graph. CoRR abs/2008.06651 (2020) - [i9]Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. CoRR abs/2010.04947 (2020) - [i8]Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengming Li, Min Yang, Yang Sun, Guoxiao Zhang:
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking. CoRR abs/2012.07598 (2020)
2010 – 2019
- 2019
- [j33]Yuqi Yang, Pengshuai Yin, Zhihang Luo, Wenwen Gu, Renjie Chen, Qingyao Wu:
Informative Feature Clustering and Selection for Gene Expression Data. IEEE Access 7: 169174-169184 (2019) - [j32]Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou:
Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning. Neural Networks 117: 240-248 (2019) - [j31]Xiaojun Chen, Joshua Zhexue Huang, Qingyao Wu, Min Yang:
Subspace Weighting Co-Clustering of Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 352-364 (2019) - [j30]Runhao Zeng, Chuang Gan, Peihao Chen, Wenbing Huang, Qingyao Wu, Mingkui Tan:
Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization. IEEE Trans. Image Process. 28(12): 5797-5808 (2019) - [j29]Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu:
Online Heterogeneous Transfer Learning by Knowledge Transition. ACM Trans. Intell. Syst. Technol. 10(3): 26:1-26:19 (2019) - [j28]Fan Lyu, Qi Wu, Fuyuan Hu, Qingyao Wu, Mingkui Tan:
Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks. IEEE Trans. Multim. 21(8): 1971-1981 (2019) - [j27]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. IEEE Trans. Multim. 21(11): 2726-2737 (2019) - [c30]Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu:
Oversampling for Imbalanced Data via Optimal Transport. AAAI 2019: 5605-5612 - [c29]Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao:
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation. ICCV 2019: 9586-9594 - [c28]Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen:
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. IJCAI 2019: 5349-5355 - [c27]Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu:
Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries. OMIA@MICCAI 2019: 43-51 - [c26]Pengshuai Yin, Qingyao Wu, Yanwu Xu, Huaqing Min, Ming Yang, Yubing Zhang, Mingkui Tan:
PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation. MICCAI (1) 2019: 129-137 - [c25]Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang:
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) 2019: 360-368 - [c24]Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu:
Attention Guided Network for Retinal Image Segmentation. MICCAI (1) 2019: 797-805 - [i7]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. CoRR abs/1903.11250 (2019) - [i6]Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu:
Attention Guided Network for Retinal Image Segmentation. CoRR abs/1907.12930 (2019) - [i5]Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/1911.07293 (2019) - [i4]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR abs/1911.07498 (2019) - 2018
- [j26]Renjie Chen, Ning Sun, Xiaojun Chen, Min Yang, Qingyao Wu:
Supervised Feature Selection With a Stratified Feature Weighting Method. IEEE Access 6: 15087-15098 (2018) - [j25]Siyu Jiang, Yonghui Xu, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu:
Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation. Neurocomputing 321: 49-60 (2018) - [j24]Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael K. Ng, Huaqing Min, Ivor W. Tsang:
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3252-3263 (2018) - [c23]Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. AAAI 2018: 3134-3141 - [c22]Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu:
A Stratified Feature Ranking Method for Supervised Feature Selection. AAAI 2018: 8059-8060 - [c21]Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu:
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. ACML 2018: 566-581 - [c20]Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan:
Visual Grounding via Accumulated Attention. CVPR 2018: 7746-7755 - [c19]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. ICML 2018: 706-714 - [c18]Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu:
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. IJCAI 2018: 2969-2975 - [c17]Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan:
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. KDD 2018: 2768-2777 - [c16]Pengshuai Yin, Mingkui Tan, Huaqing Min, Yanwu Xu, Guanghui Xu, Qingyao Wu, Yunfei Tong, Risa Higashita, Jiang Liu:
Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images. COMPAY/OMIA@MICCAI 2018: 269-276 - [c15]Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. NeurIPS 2018: 883-894 - [i3]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. CoRR abs/1806.04895 (2018) - [i2]Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. CoRR abs/1810.11809 (2018) - 2017
- [j23]Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu, Huaqing Min:
Online transfer learning by leveraging multiple source domains. Knowl. Inf. Syst. 52(3): 687-707 (2017) - [j22]Tianyong Hao, Wenxiu Xie, Qingyao Wu, Heng Weng, Yingying Qu:
Leveraging question target word features through semantic relation expansion for answer type classification. Knowl. Based Syst. 133: 43-52 (2017) - [j21]Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song:
A Unified Framework for Metric Transfer Learning. IEEE Trans. Knowl. Data Eng. 29(6): 1158-1171 (2017) - [j20]Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao:
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. IEEE Trans. Knowl. Data Eng. 29(7): 1494-1507 (2017) - [j19]Xutao Li, Michael K. Ng, Gao Cong, Yunming Ye, Qingyao Wu:
MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1787-1800 (2017) - [c14]Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan:
On the Flatness of Loss Surface for Two-layered ReLU Networks. ACML 2017: 545-560 - [c13]Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu:
A Self-Balanced Min-Cut Algorithm for Image Clustering. ICCV 2017: 2080-2088 - [c12]Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen:
Tensor Based Relations Ranking for Multi-relational Collective Classification. ICDM 2017: 901-906 - [c11]Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu:
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. IJCAI 2017: 3252-3258 - [c10]Jinxia Li, Yihan Zheng, Chao Han, Qingyao Wu, Jian Chen:
Extremely Randomized Forest with Hierarchy of Multi-label Classifiers. IScIDE 2017: 450-460 - 2016
- [j18]Yonghui Xu, Huaqing Min, Hengjie Song, Qingyao Wu:
Multi-instance multi-label distance metric learning for genome-wide protein function prediction. Comput. Biol. Chem. 63: 30-40 (2016) - [j17]Michael K. Ng, Qingyao Wu, Chenyang Shen:
A fast Markov chain based algorithm for MIML learning. Neurocomputing 216: 763-777 (2016) - [j16]Chao Han, Yun-Kun Tan, Jin-Hui Zhu, Yong Guo, Jian Chen, Qingyao Wu:
Online Feature Selection of Class Imbalance via PA Algorithm. J. Comput. Sci. Technol. 31(4): 673-682 (2016) - [j15]Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng:
ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 28(10): 2665-2680 (2016) - [j14]Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida:
Individual Judgments Versus Consensus: Estimating Query-URL Relevance. ACM Trans. Web 10(1): 3:1-3:21 (2016) - [c9]Feng Wu, Qiong Liu, Tianyong Hao, Xiaojun Chen, Qingyao Wu:
Online Multi-Instance Multi-Label learning for protein function prediction. BIBM 2016: 780-785 - [c8]Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min:
Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers. ECCV Workshops (3) 2016: 467-474 - [c7]Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu, Bin Li:
Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation. PAKDD (1) 2016: 3-13 - [i1]Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton van den Hengel, Qinfeng Shi:
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs. CoRR abs/1611.01773 (2016) - 2015
- [j13]Qingyao Wu, Jian Chen, Shen-Shyang Ho, Xutao Li, Huaqing Min, Chao Han:
Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks. Big Data Res. 2(4): 187-201 (2015) - [j12]Thanh-Tung Nguyen, Joshua Zhexue Huang, Qingyao Wu, Thuy Thi Nguyen, Mark Junjie Li:
Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests. BMC Genom. 16(S-2): S5 (2015) - [j11]Qingyao Wu, Zhenyu Wang, Chunshan Li, Yunming Ye, Yueping Li, Ning Sun:
Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization. BMC Syst. Biol. 9(S-1): S9 (2015) - [j10]Chao Han, Jian Chen, Qingyao Wu, Shuai Mu, Huaqing Min:
Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction. J. Bioinform. Comput. Biol. 13(5): 1543001:1-1543001:20 (2015) - [j9]Qingyao Wu, Mingkui Tan, Xutao Li, Huaqing Min, Ning Sun:
NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification. Knowl. Based Syst. 89: 160-172 (2015) - [j8]Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy W. S. Chow, Shen-Shyang Ho:
ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 26(3): 430-443 (2015) - 2014
- [j7]Qingyao Wu, Yunming Ye, Michael K. Ng, Shen-Shyang Ho, Ruichao Shi:
Collective prediction of protein functions from protein-protein interaction networks. BMC Bioinform. 15(S-2): S9 (2014) - [j6]Qingyao Wu, Michael K. Ng, Yunming Ye:
Cotransfer Learning Using Coupled Markov Chains with Restart. IEEE Intell. Syst. 29(4): 26-33 (2014) - [j5]Qingyao Wu, Michael K. Ng, Yunming Ye, Xutao Li, Ruichao Shi, Yan Li:
Multi-label collective classification via Markov chain based learning method. Knowl. Based Syst. 63: 1-14 (2014) - [j4]Qingyao Wu, Yunming Ye, Haijun Zhang, Michael K. Ng, Shen-Shyang Ho:
ForesTexter: An efficient random forest algorithm for imbalanced text categorization. Knowl. Based Syst. 67: 105-116 (2014) - [c6]Ruichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho:
A Generative Model with Network Regularization for Semi-Supervised Collective Classification. SDM 2014: 64-72 - 2013
- [j3]Yunming Ye, Qingyao Wu, Yan Li, Kam-Pui Chow, Lucas Chi Kwong Hui, Siu-Ming Yiu:
Unknown Chinese word extraction based on variety of overlapping strings. Inf. Process. Manag. 49(2): 497-512 (2013) - [j2]Qingyao Wu, Michael K. Ng, Yunming Ye:
Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm. Knowl. Inf. Syst. 37(1): 83-104 (2013) - [j1]Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng, Xutao Li:
Stratified sampling for feature subspace selection in random forests for high dimensional data. Pattern Recognit. 46(3): 769-787 (2013) - [c5]Qingyao Wu, Yunming Ye, Xiaofeng Zhang, Shen-Shyang Ho:
Cluster tree based multi-label classification for protein function prediction. BIBM 2013: 513-516 - 2012
- [c4]Xutao Li, Yunming Ye, Qingyao Wu, Michael K. Ng:
MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension. BIBM 2012: 1-6 - 2011
- [c3]Qingyao Wu, Yunming Ye, Yang Liu, Michael K. Ng:
Stratified Random Forest for Genome-wide Association Study. BIBM 2011: 10-15 - 2010
- [c2]Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun, Qingyao Wu:
A Refinement Approach to Handling Model Misfit in Semi-supervised Learning. ADMA (2) 2010: 75-86 - [c1]Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang:
Exploiting Word Cluster Information for Unsupervised Feature Selection. PRICAI 2010: 292-303
Coauthor Index
[j71] [c59] [c58] [c55] [j62] [j61] [j56] [j54] [j48] [j44] [j43] [c37] [c36] [j38] [j37] [c31] [i14] [i13] [i12] [i11] [i9] [j30] [j28] [j27] [c30] [c27] [c26] [c25] [c24] [i7] [i6] [i5] [i4] [j24] [c23] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i3] [i2] [j20] [c14] [c12] [c11] [j15] [c8] [i1] [j9]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-11 20:03 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
